Concepts in Systems and Signals
For junior-level courses in Continuous-Time and Discrete-Time Systems and Signals, and Using MATLAB in Systems and Signals, for electrical, computer, and telecommunications engineering technology programs. Students must be comfortable with calculus.This text provides a comprehensive review of the foundations of continuous-time systems, and introduces, with equal emphasis, the "new circuit theory" of discrete-time systems. It looks at the concepts and analysis tools associated with signal spectra-focusing on periodic signals and the Discrete Fourier Transform, and makes students aware of the capabilities of MATLAB.
- Hardback | 374 pages
- 196.3 x 242.1 x 22.1mm | 846g
- 16 May 2000
- Pearson Education (US)
- United States
Table of contents
1. Numbers, Arithmetic, and Mathematics. The Number System. Rectangular/Polar Conversions. Euler's Identity. Complex-Number Arithmetic. Functions of a Complex Variable. Indeterminate Values. Introduction to MATLAB.2. Continuous-Time Systems. System Equations. The Exponential Signal. Phasor Transformations. Transfer Functions. The Natural Response. MATLAB Lesson 2.3. Analysis Techniques. Driving Point Imedance. Circuit Analysis in the s Domain. Feedback Diagram Elements. Block Diagram Reduction. Stability Tests. MATLAB Lesson 3.4. Frequency Response. Resonant Systems: L-C Circuits. Nonresonant Systems: R-C Circuits. The Decibel (dB). General Systems: R-L-C Circuits. MATLAB Lesson 4.5. Standard Filters. Ideal Filters. Filter Prototypes. Denormalization. Filter Transformations. Prototype Circuit Development. MATLAB Lesson 5.6. Spectral Analysis. Fourier Series. Parseval's Theorem. The Fourier Transform. Windows. MATLAB Lesson 6.7. Sampled Signals. Discrete Fourier Transform (DFT). Sampled Sinewaves. Discrete-Time Fourier Transform (DTFT). MATLAB Lesson 7.8. Discrete-Time Systems. The z Domain. Normalized Frequency. The Difference Equation. The Transfer Function. Stability in the z Domain. MATLAB Lesson 8.9. IIR Filter Design. Bilinear Transformation. MATLAB Lesson 9. IIR Implementation.10. FIR Filter Design. FIR from IIR. Symmetric Difference Equations. Windows Designs. Frequency Sampling. A Final MATLAB Lesson.11. Sampling Strategies. Oversampling and Decimation. Reconstruction and Interpolation. Bandpass Sampling.Appendix A: DSP Hardware. Appendix B: MATLAB Index. Appendix C: Answers to the Odd Numbered Problems. Index.